Permutation Tests

A Practical Guide to Resampling Methods for Testing Hypotheses

  • Phillip Good

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-x
  2. Phillip Good
    Pages 1-9
  3. Phillip Good
    Pages 10-23
  4. Phillip Good
    Pages 24-43
  5. Phillip Good
    Pages 44-63
  6. Phillip Good
    Pages 64-77
  7. Phillip Good
    Pages 78-93
  8. Phillip Good
    Pages 94-104
  9. Phillip Good
    Pages 105-109
  10. Phillip Good
    Pages 110-123
  11. Phillip Good
    Pages 124-139
  12. Phillip Good
    Pages 140-148
  13. Phillip Good
    Pages 149-152
  14. Phillip Good
    Pages 153-165
  15. Phillip Good
    Pages 166-179
  16. Back Matter
    Pages 180-227

About this book

Introduction

Permutation tests permit us to choose the test statistic best suited to the task at hand. This freedom of choice opens up a thousand practical applications, including many which are beyond the reach of conventional parametric sta­ tistics. Flexible, robust in the face of missing data and violations of assump­ tions, the permutation test is among the most powerful of statistical proce­ dures. Through sample size reduction, permutation tests can reduce the costs of experiments and surveys. This text on the application of permutation tests in biology, medicine, science, and engineering may be used as a step-by-step self-guiding reference manual by research workers and as an intermediate text for undergraduates and graduates in statistics and the applied sciences with a first course in statistics and probability under their belts. Research workers in the applied sciences are advised to read through Chapters 1 and 2 once quickly before proceeding to Chapters 3 through 8 which cover the principal applications they are likely to encounter in practice. Chapter 9 is a must for the practitioner, with advice for coping with real­ life emergencies such as missing or censored data, after-the-fact covariates, and outliers. Chapter 10 uses practical applications in archeology, biology, climatology, education and social science to show the research worker how to develop new permutation statistics to meet the needs of specific applications. The practitioner will find Chapter 10 a source of inspiration as well as a practical guide to the development of new and novel statistics.

Keywords

biology cluster clustering experiment medicine mutation permutation tests

Authors and affiliations

  • Phillip Good
    • 1
  1. 1.Huntington BeachUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-2346-5
  • Copyright Information Springer-Verlag New York 1994
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-2348-9
  • Online ISBN 978-1-4757-2346-5
  • Series Print ISSN 0172-7397
  • About this book